Flight Fare Prediction Machine Learning Project with Deployment | Time Series | Project#10
🔥 Flight fare prediction is a classical problem of time series forecasting that find trends in past observations to outline the future.
GitHub Project Repo: https://github.com/skillcate/flight-p...
Google Drive Project Folder: https://drive.google.com/drive/folder...
Skillcate Discord Server: / discord
Many popular flight booking websites today, including Google Flights, showcase important insights on: current fair status: high, low or fair; past / upcoming fare trends; and essentially, helps decide the right time to book a flight ticket.
In this project, we are going to build a Python Flight Fare Prediction App, that returns the fare prediction for a given set of travel details, like: departure date, arrival date, departure city, arrival city, stoppages, and the airline carrier.
🔥 Sections:
00:00 Introduction
01:49 Our Plan of Action
05:18 EDA (Feature Engineering)
14:20 Feature Selection
17:41 Model Training
19:30 Predictions on Fresh Data
22:24 Flask Deployment
31:17 Let's talk Machine Learning
🔥 During the course of next ~30mins, we shall discuss:
a. Business use-case for Flight Predictions
b. Feature Engineering on Object Variables (using: pandas to.datetime function)
c. Feature Engineering on Categorical Variables (using: OneHotEncoding & LabelEncoding)
d. Feature Selection using Sklearn Feature Importance & Variable Inflation Factor (VIF) - for Multicollinearity check
e. Training Fare Prediction - Random Forest Regressor Model
f. GitHub Project Repo Walkthrough (including web app.py)
g. Flask Deployment of Project App
🔥 Important Links:
Dataset Source: https://www.kaggle.com/datasets/nikhi...
Sentiment Analysis Project based Review Classification Project from Skillcate: • Sentiment Analysis Project using Machine L...
Sentiment Analysis Project (End-to-end) with ML Model Building + Deployment (using Flask):
Model Building: • Sentiment Analysis Machine Learning Projec... (Part-1)
Model Deployment: • PIP + Virtual Environment | Flask Deployme... (Part-2)
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